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Hart WK, Klick JC, Tsai MH. Efficiency, Safety, Quality, and Empathy: Balancing Competing Perioperative Challenges in the Older Adults. Clin Geriatr Med 2025; 41:117-130. [PMID: 39551537 DOI: 10.1016/j.cger.2024.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2024]
Abstract
Although baby boomer generation accounts for a little more than 15% of the US population, the cohort represents a disproportionate percentage of patients undergoing surgery. As this group continues to age, a multitude of challenges have arisen in health care regarding the safest and most effective means of providing anesthesia services to these patients. Many older adults patients may be exquisitely sensitive to the effects of anesthesia and surgery and may experience cognitive and physical decline before, during, or after hospital admission. In this review article, the authors briefly examine the physiologic processes underlying aging and explore steps necessary to deliver safe, empathetic care.
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Affiliation(s)
- William K Hart
- Department of Anesthesiology, University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - John C Klick
- Department of Anesthesiology, University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - Mitchell H Tsai
- Department of Anesthesiology, University of Vermont Larner College of Medicine, Burlington, VT, USA; Department of Orthopaedics and Rehabilitation (by courtesy), University of Vermont Larner College of Medicine, Burlington, VT, USA; Department of Surgery (by courtesy), University of Vermont Larner College of Medicine, Burlington, VT, USA.
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Deschamps A, Ben Abdallah A, Jacobsohn E, Saha T, Djaiani G, El-Gabalawy R, Overbeek C, Palermo J, Courbe A, Cloutier I, Tanzola R, Kronzer A, Fritz BA, Schmitt EM, Inouye SK, Avidan MS. Electroencephalography-Guided Anesthesia and Delirium in Older Adults After Cardiac Surgery: The ENGAGES-Canada Randomized Clinical Trial. JAMA 2024; 332:112-123. [PMID: 38857019 PMCID: PMC11165413 DOI: 10.1001/jama.2024.8144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 04/18/2024] [Indexed: 06/11/2024]
Abstract
Importance Intraoperative electroencephalogram (EEG) waveform suppression, suggesting excessive general anesthesia, has been associated with postoperative delirium. Objective To assess whether EEG-guided anesthesia decreases the incidence of delirium after cardiac surgery. Design, Setting, and Participants Randomized, parallel-group clinical trial of 1140 adults 60 years or older undergoing cardiac surgery at 4 Canadian hospitals. Recruitment was from December 2016 to February 2022, with follow-up until February 2023. Interventions Patients were randomized in a 1:1 ratio (stratified by hospital) to receive EEG-guided anesthesia (n = 567) or usual care (n = 573). Patients and those assessing outcomes were blinded to group assignment. Main Outcomes and Measures The primary outcome was delirium during postoperative days 1 through 5. Intraoperative measures included anesthetic concentration and EEG suppression time. Secondary outcomes included intensive care and hospital length of stay. Serious adverse events included intraoperative awareness, medical complications, and 30-day mortality. Results Of 1140 randomized patients (median [IQR] age, 70 [65-75] years; 282 [24.7%] women), 1131 (99.2%) were assessed for the primary outcome. Delirium during postoperative days 1 to 5 occurred in 102 of 562 patients (18.15%) in the EEG-guided group and 103 of 569 patients (18.10%) in the usual care group (difference, 0.05% [95% CI, -4.57% to 4.67%]). In the EEG-guided group compared with the usual care group, the median volatile anesthetic minimum alveolar concentration was 0.14 (95% CI, 0.15 to 0.13) lower (0.66 vs 0.80) and there was a 7.7-minute (95% CI, 10.6 to 4.7) decrease in the median total time spent with EEG suppression (4.0 vs 11.7 min). There were no significant differences between groups in median length of intensive care unit (difference, 0 days [95% CI, -0.31 to 0.31]) or hospital stay (difference, 0 days [95% CI, -0.94 to 0.94]). No patients reported intraoperative awareness. Medical complications occurred in 64 of 567 patients (11.3%) in the EEG-guided group and 73 of 573 (12.7%) in the usual care group. Thirty-day mortality occurred in 8 of 567 patients (1.4%) in the EEG-guided group and 13 of 573 (2.3%) in the usual care group. Conclusions and Relevance Among older adults undergoing cardiac surgery, EEG-guided anesthetic administration to minimize EEG suppression, compared with usual care, did not decrease the incidence of postoperative delirium. This finding does not support EEG-guided anesthesia for this indication. Trial Registration ClinicalTrials.gov Identifier: NCT02692300.
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Affiliation(s)
- Alain Deschamps
- Montreal Heart Institute, Department of Anesthesiology and Pain Medicine, Université de Montreal, Montreal, Quebec, Canada
| | - Arbi Ben Abdallah
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Eric Jacobsohn
- Department of Anesthesiology Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Tarit Saha
- Department of Anesthesiology and Perioperative Medicine, Queen’s University, Kingston, Ontario, Canada
| | - George Djaiani
- Department of Anesthesia, University of Toronto, Toronto, Ontario, Canada
| | - Renée El-Gabalawy
- Departments of Clinical Health Psychology and Anesthesiology, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Charles Overbeek
- Montreal Heart Institute, Department of Anesthesiology and Pain Medicine, Université de Montreal, Montreal, Quebec, Canada
| | - Jennifer Palermo
- Montreal Heart Institute, Department of Anesthesiology and Pain Medicine, Université de Montreal, Montreal, Quebec, Canada
| | - Athanase Courbe
- Montreal Heart Institute, Department of Anesthesiology and Pain Medicine, Université de Montreal, Montreal, Quebec, Canada
| | - Isabelle Cloutier
- Montreal Health Innovations Coordinating Center, Montreal Heart Institute, Montreal, Quebec, Canada
| | - Rob Tanzola
- Department of Anesthesiology and Perioperative Medicine, Queen’s University, Kingston, Ontario, Canada
| | - Alex Kronzer
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Bradley A. Fritz
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Eva M. Schmitt
- Department of Medicine, Beth Israel-Deaconess Medical Center and the Marcus Institute for Aging Research, Hebrew Senior Life, Harvard Medical School, Boston, Massachusetts
| | - Sharon K. Inouye
- Department of Medicine, Beth Israel-Deaconess Medical Center and the Marcus Institute for Aging Research, Hebrew Senior Life, Harvard Medical School, Boston, Massachusetts
| | - Michael S. Avidan
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
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Touchard C, Guessous K, Cartailler J. In Response. Anesth Analg 2023; 137:e50-e51. [PMID: 37973137 DOI: 10.1213/ane.0000000000006616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Affiliation(s)
- Cyril Touchard
- AP-HP, Hôpital Lariboisière, Departement d'Anesthésie-Réanimation, Paris, France, Université Paris Cité, Boulogne-Billancourt, France
| | - Karim Guessous
- AP-HP, Hôpital Lariboisière, Département d'Anesthésie-Réanimation, Paris, France, Sorbonne Université, Paris, France, UMR-942, INSERM Délégation Régionale Paris 7, Bagnolet France,
| | - Jérôme Cartailler
- AP-HP, Hôpital Lariboisière, Département d'Anesthésie-Réanimation, Paris, France, UMR-942, INSERM Délégation Régionale Paris 7, Bagnolet, France
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Hart WK, Klick JC, Tsai MH. Efficiency, Safety, Quality, and Empathy: Balancing Competing Perioperative Challenges in the Elderly. Anesthesiol Clin 2023; 41:657-670. [PMID: 37516501 DOI: 10.1016/j.anclin.2023.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/31/2023]
Abstract
Although baby boomer generation accounts for a little more than 15% of the US population, the cohort represents a disproportionate percentage of patients undergoing surgery. As this group continues to age, a multitude of challenges have arisen in health care regarding the safest and most effective means of providing anesthesia services to these patients. Many elderly patients may be exquisitely sensitive to the effects of anesthesia and surgery and may experience cognitive and physical decline before, during, or after hospital admission. In this review article, the authors briefly examine the physiologic processes underlying aging and explore steps necessary to deliver safe, empathetic care.
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Affiliation(s)
- William K Hart
- Department of Anesthesiology, University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - John C Klick
- Department of Anesthesiology, University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - Mitchell H Tsai
- Department of Anesthesiology, University of Vermont Larner College of Medicine, Burlington, VT, USA; Department of Orthopaedics and Rehabilitation (by courtesy), University of Vermont Larner College of Medicine, Burlington, VT, USA; Department of Surgery (by courtesy), University of Vermont Larner College of Medicine, Burlington, VT, USA.
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Murillo C, Weil AB, Moore GE, Kreuzer M, Ko JC. Electroencephalographic and Cardiovascular Changes Associated with Propofol Constant Rate of Infusion Anesthesia in Young Healthy Dogs. Animals (Basel) 2023; 13:664. [PMID: 36830451 PMCID: PMC9951736 DOI: 10.3390/ani13040664] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/10/2023] [Accepted: 02/13/2023] [Indexed: 02/17/2023] Open
Abstract
This study aimed to evaluate electroencephalography (EEG) and cardiovascular changes associated with propofol constant rate of infusion (CRI) anesthesia in dogs. Six dogs were each given propofol CRI to induce different anesthetic phases including induction (1 mg/kg/min for 10 min), and decremental maintenance doses of 2.4 mg per kg per min, 1.6 mg per kg per min, and 0.8 mg per kg per minute over 45 min. Processed EEG indices including patient state index (PSI), (burst) suppression ratio (SR), and spectral edge frequency (95%) were obtained continuously until the dogs recovered to sternal recumbency. The dogs were intubated and ventilated. Cardiovascular and EEG index values were compared between anesthetic phases. The PSI, SR, mean arterial blood pressure, and subjective anesthetic depth scores were highly correlated throughout anesthetic depth changes. The PSI decreased from 85.0 ± 17.3 at awake to 66.0 ± 29.0 at induction, and then sharply reduced to 19.7 ± 23.6 during maintenance and returned to 61.5 ± 19.2 at extubation. The SR increased from 15.4 ± 30.9% at induction to 70.9 ± 39.8% during maintenance and decreased to 3.4 ± 8.9% at extubation. We concluded that EEG indices can be used to aid in tracking ongoing brain state changes during propofol anesthesia in dogs.
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Affiliation(s)
- Carla Murillo
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Purdue University, West Lafayette, IN 47907, USA
| | - Ann B. Weil
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Purdue University, West Lafayette, IN 47907, USA
| | - George E. Moore
- Department of Veterinary Administration, College of Veterinary Medicine, Purdue University, West Lafayette, IN 47907, USA
| | - Matthias Kreuzer
- Department of Anesthesiology and Intensive Care, School of Medicine, Technical University of Munich, 80333 München, Germany
| | - Jeff C. Ko
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Purdue University, West Lafayette, IN 47907, USA
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Deschamps A, Saha T, El-Gabalawy R, Jacobsohn E, Overbeek C, Palermo J, Robichaud S, Dumont AA, Djaiani G, Carroll J, Kavosh MS, Tanzola R, Schmitt EM, Inouye SK, Oberhaus J, Mickle A, Ben Abdallah A, Avidan MS, Clinical Trials Group CPA. Protocol for the electroencephalography guidance of anesthesia to alleviate geriatric syndromes (ENGAGES-Canada) study: A pragmatic, randomized clinical trial. F1000Res 2023; 8:1165. [PMID: 31588356 PMCID: PMC6760454 DOI: 10.12688/f1000research.19213.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/09/2023] [Indexed: 01/15/2023] Open
Abstract
Background: There is some evidence that electroencephalography guidance of general anesthesia can decrease postoperative delirium after non-cardiac surgery. There is limited evidence in this regard for cardiac surgery. A suppressed electroencephalogram pattern, occurring with deep anesthesia, is associated with increased incidence of postoperative delirium (POD) and death. However, it is not yet clear whether this electroencephalographic pattern reflects an underlying vulnerability associated with increased incidence of delirium and mortality, or whether it is a modifiable risk factor for these adverse outcomes. Methods: The Electroe ncephalography Guidance of Anesthesia to Alleviate Geriatric Syndromes ( ENGAGES-Canada) is an ongoing pragmatic 1200 patient trial at four Canadian sites. The study compares the effect of two anesthetic management approaches on the incidence of POD after cardiac surgery. One approach is based on current standard anesthetic practice and the other on electroencephalography guidance to reduce POD. In the guided arm, clinicians are encouraged to decrease anesthetic administration, primarily if there is electroencephalogram suppression and secondarily if the EEG index is lower than the manufacturers recommended value (bispectral index (BIS) or WAVcns below 40 or Patient State Index below 25). The aim in the guided group is to administer the minimum concentration of anesthetic considered safe for individual patients. The primary outcome of the study is the incidence of POD, detected using the confusion assessment method or the confusion assessment method for the intensive care unit; coupled with structured delirium chart review. Secondary outcomes include unexpected intraoperative movement, awareness, length of intensive care unit and hospital stay, delirium severity and duration, quality of life, falls, and predictors and outcomes of perioperative distress and dissociation. Discussion: The ENGAGES-Canada trial will help to clarify whether or not using the electroencephalogram to guide anesthetic administration during cardiac surgery decreases the incidence, severity, and duration of POD. Registration: ClinicalTrials.gov ( NCT02692300) 26/02/2016.
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Affiliation(s)
- Alain Deschamps
- Department of Anesthesiology and Pain Medicine, Montreal Heart Institute and Universite de Montreal, Montreal, Quebec, H1T 1C8, Canada,
| | - Tarit Saha
- Department of Anesthesiology and Perioperative Medicine, Queen's University, Kingston, Kingston, Ontario, Canada
| | - Renée El-Gabalawy
- Department of Clinical Health Psychology, Anesthesiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Eric Jacobsohn
- Departments of Anesthesia and Internal Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Charles Overbeek
- Department of Anesthesiology and Pain Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Jennifer Palermo
- Department of Anesthesiology and Pain Medicine, University of Montreal, Montreal, Quebec, Canada
| | | | - Andrea Alicia Dumont
- Montreal Health Innovation Coordinating Center, Montreal Heart Institute, Montreal, Quebec, Canada
| | - George Djaiani
- Department of Anesthesia, University of Toronto, Toronto, Ontario, Canada
| | - Jo Carroll
- Department of Anesthesia, University of Toronto, Toronto, Ontario, Canada
| | - Morvarid S. Kavosh
- Department of Anesthesiology, Perioperative and Pain Medicine, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Rob Tanzola
- Department of Anesthesiology and Perioperative Medicine, Queen's University, Kingston, Kingston, Ontario, Canada
| | - Eva M. Schmitt
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachussetts, USA
| | - Sharon K. Inouye
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachussetts, USA
| | - Jordan Oberhaus
- Department of Anesthesiology, Washington University School of Medicine, St-Louis, Missouri, USA
| | - Angela Mickle
- Department of Anesthesiology, Washington University School of Medicine, St-Louis, Missouri, USA
| | - Arbi Ben Abdallah
- Department of Anesthesiology, Washington University School of Medicine, St-Louis, Missouri, USA
| | - Michael S. Avidan
- Department of Anesthesiology, Washington University School of Medicine, St-Louis, Missouri, USA
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Deschamps A, Saha T, El-Gabalawy R, Jacobsohn E, Overbeek C, Palermo J, Robichaud S, Dumont AA, Djaiani G, Carroll J, Kavosh MS, Tanzola R, Schmitt EM, Inouye SK, Oberhaus J, Mickle A, Ben Abdallah A, Avidan MS, Clinical Trials Group CPA. Protocol for the electroencephalography guidance of anesthesia to alleviate geriatric syndromes (ENGAGES-Canada) study: A pragmatic, randomized clinical trial. F1000Res 2023; 8:1165. [PMID: 31588356 PMCID: PMC6760454 DOI: 10.12688/f1000research.19213.1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/08/2019] [Indexed: 01/27/2023] Open
Abstract
Background: There is some evidence that electroencephalography guidance of general anesthesia can decrease postoperative delirium after non-cardiac surgery. There is limited evidence in this regard for cardiac surgery. A suppressed electroencephalogram pattern, occurring with deep anesthesia, is associated with increased incidence of postoperative delirium (POD) and death. However, it is not yet clear whether this electroencephalographic pattern reflects an underlying vulnerability associated with increased incidence of delirium and mortality, or whether it is a modifiable risk factor for these adverse outcomes. Methods: The Electroe ncephalography Guidance of Anesthesia to Alleviate Geriatric Syndromes ( ENGAGES-Canada) is an ongoing pragmatic 1200 patient trial at four Canadian sites. The study compares the effect of two anesthetic management approaches on the incidence of POD after cardiac surgery. One approach is based on current standard anesthetic practice and the other on electroencephalography guidance to reduce POD. In the guided arm, clinicians are encouraged to decrease anesthetic administration, primarily if there is electroencephalogram suppression and secondarily if the EEG index is lower than the manufacturers recommended value (bispectral index (BIS) or WAVcns below 40 or Patient State Index below 25). The aim in the guided group is to administer the minimum concentration of anesthetic considered safe for individual patients. The primary outcome of the study is the incidence of POD, detected using the confusion assessment method or the confusion assessment method for the intensive care unit; coupled with structured delirium chart review. Secondary outcomes include unexpected intraoperative movement, awareness, length of intensive care unit and hospital stay, delirium severity and duration, quality of life, falls, and predictors and outcomes of perioperative distress and dissociation. Discussion: The ENGAGES-Canada trial will help to clarify whether or not using the electroencephalogram to guide anesthetic administration during cardiac surgery decreases the incidence, severity, and duration of POD. Registration: ClinicalTrials.gov ( NCT02692300) 26/02/2016.
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Affiliation(s)
- Alain Deschamps
- Department of Anesthesiology and Pain Medicine, Montreal Heart Institute and Universite de Montreal, Montreal, Quebec, H1T 1C8, Canada,
| | - Tarit Saha
- Department of Anesthesiology and Perioperative Medicine, Queen's University, Kingston, Kingston, Ontario, Canada
| | - Renée El-Gabalawy
- Department of Clinical Health Psychology, Anesthesiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Eric Jacobsohn
- Departments of Anesthesia and Internal Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Charles Overbeek
- Department of Anesthesiology and Pain Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Jennifer Palermo
- Department of Anesthesiology and Pain Medicine, University of Montreal, Montreal, Quebec, Canada
| | | | - Andrea Alicia Dumont
- Montreal Health Innovation Coordinating Center, Montreal Heart Institute, Montreal, Quebec, Canada
| | - George Djaiani
- Department of Anesthesia, University of Toronto, Toronto, Ontario, Canada
| | - Jo Carroll
- Department of Anesthesia, University of Toronto, Toronto, Ontario, Canada
| | - Morvarid S. Kavosh
- Department of Anesthesiology, Perioperative and Pain Medicine, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Rob Tanzola
- Department of Anesthesiology and Perioperative Medicine, Queen's University, Kingston, Kingston, Ontario, Canada
| | - Eva M. Schmitt
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachussetts, USA
| | - Sharon K. Inouye
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachussetts, USA
| | - Jordan Oberhaus
- Department of Anesthesiology, Washington University School of Medicine, St-Louis, Missouri, USA
| | - Angela Mickle
- Department of Anesthesiology, Washington University School of Medicine, St-Louis, Missouri, USA
| | - Arbi Ben Abdallah
- Department of Anesthesiology, Washington University School of Medicine, St-Louis, Missouri, USA
| | - Michael S. Avidan
- Department of Anesthesiology, Washington University School of Medicine, St-Louis, Missouri, USA
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Checkley W, Hossen S, Rosa G, Thompson LM, McCracken JP, Diaz-Artiga A, Balakrishnan K, Simkovich SM, Underhill LJ, Nicolaou L, Hartinger SM, Davila-Roman VG, Kirby MA, Clasen TF, Rosenthal J, Peel JL. Facing the Realities of Pragmatic Design Choices in Environmental Health Studies: Experiences from the Household Air Pollution Intervention Network Trial. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:3790. [PMID: 35409475 PMCID: PMC8997769 DOI: 10.3390/ijerph19073790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 03/15/2022] [Accepted: 03/18/2022] [Indexed: 11/29/2022]
Abstract
Objective: Household Air Pollution Intervention Network (HAPIN) investigators tested a complex, non-pharmacological intervention in four low- and middle-income countries as a strategy to mitigate household air pollution and improve health outcomes across the lifespan. Intervention households received a liquefied petroleum gas (LPG) stove, continuous fuel delivery and regular behavioral reinforcements for 18 months, whereas controls were asked to continue with usual cooking practices. While HAPIN was designed as an explanatory trial to test the efficacy of the intervention on four primary outcomes, it introduced several pragmatic aspects in its design and conduct that resemble real-life conditions. We surveyed HAPIN investigators and asked them to rank what aspects of the design and conduct they considered were more pragmatic than explanatory. Methods: We used the revised Pragmatic Explanatory Continuum Indicator Summary (PRECIS-2) to survey investigators on the degree of pragmatism in nine domains of trial design and conduct using a five-point Likert rank scale from very explanatory (1) to very pragmatic (5). We invited 103 investigators. Participants were given educational material on PRECIS-2, including presentations, papers and examples that described the use and implementation of PRECIS-2. Results: Thirty-five investigators (mean age 42 years, 51% female) participated in the survey. Overall, only 17% ranked all domains as very explanatory, with an average (±SD) rank of 3.2 ± 1.4 across domains. Fewer than 20% of investigators ranked eligibility, recruitment or setting as very explanatory. In contrast, ≥50% of investigators ranked the trial organization, delivery and adherence of the intervention and follow-up as very/rather explanatory whereas ≤17% ranked them as rather/very pragmatic. Finally, <25% of investigators ranked the relevance of outcomes to participants and analysis as very/rather explanatory whereas ≥50% ranked then as rather/very pragmatic. In-country partners were more likely to rank domains as pragmatic when compared to investigators working in central coordination (average rank 3.2 vs. 2.8, respectively; Wilcoxon rank-sum p < 0.001). Conclusion: HAPIN investigators did not consider their efficacy trial to be rather/very explanatory and reported that some aspects of the design and conduct were executed under real-world conditions; however, they also did not consider the trial to be overly pragmatic. Our analysis underscores the importance of using standardized tools such as PRECIS-2 to guide early discussions among investigators in the design of environmental health trials attempting to measure efficacy.
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Affiliation(s)
- William Checkley
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA; (S.H.); (L.J.U.); (L.N.)
- Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Shakir Hossen
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA; (S.H.); (L.J.U.); (L.N.)
- Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Ghislaine Rosa
- Faculty of Infectious and Tropical Diseases, London School of Tropical Medicine and Hygiene, London WC1E 7HT, UK;
| | - Lisa M. Thompson
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA 30332, USA;
| | - John P. McCracken
- Epidemiology and Biostatistics Department, University of Georgia, Athens, GA 30606, USA;
| | - Anaite Diaz-Artiga
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City 01015, Guatemala;
| | - Kalpana Balakrishnan
- ICMR Center for Advanced Research on Air Quality, Climate and Health, Department of Environmental Health Engineering, Sri Ramachandra Institute for Higher Education and Research, Chennai 600116, India;
| | - Suzanne M. Simkovich
- Division of Healthcare Delivery Research, Medstar Health Research Institute, Hyattsville, MD 20782, USA;
- Division of Pulmonary and Critical Care Medicine, Georgetown University, Washington, DC 20007, USA
| | - Lindsay J. Underhill
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA; (S.H.); (L.J.U.); (L.N.)
- Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Laura Nicolaou
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA; (S.H.); (L.J.U.); (L.N.)
- Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Stella M. Hartinger
- Latin American Center of Excellence on Climate Change and Health, Universidad Peruana Cayetano Heredia, Lima 15102, Peru;
| | - Victor G. Davila-Roman
- Cardiovascular Imaging and Clinical Research Core Laboratory, Cardiovascular Division, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA;
| | - Miles A. Kirby
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
| | - Thomas F. Clasen
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA;
| | - Joshua Rosenthal
- Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA;
| | - Jennifer L. Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523, USA;
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Fritz BA, King CR, Mehta D, Somerville E, Kronzer A, Ben Abdallah A, Wildes T, Avidan MS, Lenze EJ, Stark S. Association of a Perioperative Multicomponent Fall Prevention Intervention With Falls and Quality of Life After Elective Inpatient Surgical Procedures. JAMA Netw Open 2022; 5:e221938. [PMID: 35275166 PMCID: PMC8917421 DOI: 10.1001/jamanetworkopen.2022.1938] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 01/21/2022] [Indexed: 11/16/2022] Open
Abstract
Importance Falls after elective inpatient surgical procedures are common and have physical, emotional, and financial consequences. Close interactions between patients and health care teams before and after surgical procedures may offer opportunities to address modifiable risk factors associated with falls. Objective To assess whether a multicomponent intervention that incorporates education, home medication review, and home safety assessment is associated with reductions in the incidence of falls after elective inpatient surgical procedures. Design, Setting, and Participants This prospective propensity score-matched cohort study was a prespecified secondary analysis of data from the Electroencephalography Guidance of Anesthesia to Alleviate Geriatric Syndromes (ENGAGES) randomized clinical trial, which was conducted at a single academic medical center between January 16, 2015, and May 7, 2018. Patients in the intervention group of the present study were enrolled in either arm of the ENGAGES clinical trial. Patients in the control group were selected from the Systematic Assessment and Targeted Improvement of Services Following Yearly Surgical Outcomes Surveys prospective observational cohort study, which created a registry of patient-reported postoperative outcomes at the same single center. The propensity score-matched cohort in the present study included 1396 patients (698 pairs) selected from a pool of 2013 eligible patients. All patients underwent elective surgical procedures with general anesthesia and had a hospital stay of 2 or more days. Data were analyzed from January 2, 2020, to January 11, 2022. Interventions The multicomponent safety intervention (offered to all patients in the ENGAGES clinical trial) included patient education on fall prevention techniques, home medication review by a geriatric psychiatrist (with communication of recommended changes to the surgeon), a self-administered home safety assessment, and targeted occupational therapy home visits with home hazard removal (offered to patients with a preoperative history of falls). Main Outcomes and Measures The primary outcome was patient-reported falls within 1 year after an elective inpatient surgical procedure. The secondary outcome was quality of life 1 year after an elective surgical procedure, which was measured using the physical and mental composite summary scores on the Veterans RAND 12-item health survey (score range, 0-100 points, with 0 indicating lowest quality of life and 100 indicating highest quality of life). Results Among 1396 patients, the median age was 69 years (IQR, 64-75 years), and 739 patients (52.9%) were male. With regard to race, 5 patients (0.4%) were Asian, 97 (6.9%) were Black or African American, 2 (0.1%) were Native Hawaiian or Pacific Islander, 1237 (88.6%) were White, 3 (0.2%) were of other race, and 52 (3.7%) were of unknown race; with regard to ethnicity, 12 patients (0.9%) were Hispanic or Latino, 1335 (95.6%) were non-Hispanic or non-Latino, and 49 (3.5%) were of unknown ethnicity. Adherence to individual intervention components was modest (from 22.9% for completion of the self-administered home safety assessment to 28.2% for implementation of the geriatric psychiatrist's recommended medication changes). Falls within 1 year after surgical procedures were reported by 228 of 698 patients (32.7%) in the intervention group and 225 of 698 patients (32.2%) in the control group. No significant difference was found in falls between the 2 groups (standardized risk difference, 0.4%; 95% CI, -4.5% to 5.3%). After adjusting for preoperative quality of life, patients in the intervention group had higher physical composite summary scores (3.8 points; 95% CI, 2.4-5.1 points) and higher mental composite summary scores (5.7 points; 95% CI, 4.7-6.7 points) at 1 year compared with patients in the control group. Conclusions and Relevance In this cohort study, a multicomponent safety intervention was not associated with reductions in falls within the first year after an elective surgical procedure; however, an increase in quality of life at 1 year was observed. These results suggest a need for other interventions, such as those designed to increase adherence, to lower the incidence of falls after surgical procedures.
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Affiliation(s)
- Bradley A. Fritz
- Department of Anesthesiology, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Christopher R. King
- Department of Anesthesiology, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Divya Mehta
- Department of Anesthesiology, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Emily Somerville
- Program in Occupational Therapy, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Alex Kronzer
- Department of Anesthesiology, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Arbi Ben Abdallah
- Department of Anesthesiology, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Troy Wildes
- Department of Anesthesiology, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Michael S. Avidan
- Department of Anesthesiology, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Eric J. Lenze
- Department of Psychiatry, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Susan Stark
- Program in Occupational Therapy, Washington University School of Medicine in St Louis, St Louis, Missouri
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Abstract
Delirium remains a challenging clinical problem in hospitalized older adults, especially for postoperative patients. This complication, with a high risk of postoperative mortality and an increased length of stay, frequently occurs in older adult patients. This brief narrative paper aims to review the recent literature regarding delirium and its most recent update. We also offer physicians a brief and essential clinical practice guide to managing this acute and common disease.
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Oberhaus J, Wang W, Mickle AM, Becker J, Tedeschi C, Maybrier HR, Upadhyayula RT, Muench MR, Lin N, Schmitt EM, Inouye SK, Avidan MS. Evaluation of the 3-Minute Diagnostic Confusion Assessment Method for Identification of Postoperative Delirium in Older Patients. JAMA Netw Open 2021; 4:e2137267. [PMID: 34902038 PMCID: PMC8669542 DOI: 10.1001/jamanetworkopen.2021.37267] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
IMPORTANCE Delirium is a common postoperative complication in older patients that often goes undetected and might lead to worse outcomes. The 3-Minute Diagnostic Confusion Assessment Method (3D-CAM) might be a practical tool for routine clinical diagnosis of delirium. OBJECTIVE To assess the 3D-CAM for detecting postoperative delirium compared with the long-form CAM used for research purposes. DESIGN, SETTING, AND PARTICIPANTS This cohort study of older patients enrolled in ongoing clinical trials between 2015 and 2018 was conducted at a single tertiary US hospital. Included participants were aged 60 years or older undergoing major elective surgical procedures that required at least a 2-day hospital stay. Data were analyzed between February and April 2019. EXPOSURES Surgical procedures of at least 2 hours in length requiring general anesthesia with planned extubation. MAIN OUTCOMES AND MEASURES Patients were concurrently assessed for delirium using the 3D-CAM assessment and the long-form CAM, scored based on a standardized cognitive assessment. Agreement between these 2 methods was tested using Cohen κ with repeated measures, a generalized linear mixed-effects model, and Bland-Altman analysis. RESULTS Sixteen raters conducted 471 concurrent CAM and 3D-CAM interviews including 299 patients (mean [SD] age, 69 [6.5] years), the majority of whom were men (152 [50.8%]), were White (263 [88.0%]), and had noncardiac operations (211 [70.6%]). Both instruments had good intraclass correlation (0.84 for the CAM and 0.98 for the 3D-CAM). Cohen κ demonstrated good overall agreement between the CAM and 3D-CAM (κ = 0.71; 95% CI, 0.58 to 0.83). According to the mixed-effects model, there was statistically significant disagreement between the 3D-CAM and CAM (estimated difference in fixed effect, -0.68; 95% CI, -1.32 to -0.05; P = .04). Bland-Altman analysis showed the probability of a delirium diagnosis with the 3D-CAM was more than twice the probability of a delirium diagnosis with the CAM (probability ratio, 2.78; 95% CI, 2.44 to 3.23). CONCLUSIONS AND RELEVANCE The 3D-CAM instrument demonstrated agreement with the long-form CAM and might provide a pragmatic and sensitive clinical tool for detecting postoperative delirium, with the caveat that the 3D-CAM might overdiagnose delirium.
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Affiliation(s)
- Jordan Oberhaus
- Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri
| | - Wei Wang
- Department of Mathematics and Statistics, Washington University in St Louis, St Louis, Missouri
| | - Angela M. Mickle
- Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri
| | - Jennifer Becker
- Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri
| | - Catherine Tedeschi
- Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri
| | - Hannah R. Maybrier
- Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri
| | - Ravi T. Upadhyayula
- Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri
| | - Maxwell R. Muench
- Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri
| | - Nan Lin
- Department of Mathematics and Statistics, Washington University in St Louis, St Louis, Missouri
- Division of Biostatistics, Washington University in St Louis, St Louis, Missouri
| | - Eva M. Schmitt
- Aging Brain Center, Institute for Aging Research, Hebrew Senior Life, Boston, Massachusetts
| | - Sharon K. Inouye
- Aging Brain Center, Institute for Aging Research, Hebrew Senior Life, Boston, Massachusetts
| | - Michael S. Avidan
- Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri
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12
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Fritz BA, King CR, Mickle AM, Wildes TS, Budelier TP, Oberhaus J, Park D, Maybrier HR, Ben Abdallah A, Kronzer A, McKinnon SL, Torres BA, Graetz TJ, Emmert DA, Palanca BJ, Stevens TW, Stark SL, Lenze EJ, Avidan MS. Effect of electroencephalogram-guided anaesthesia administration on 1 yr mortality: 1 yr follow-up of a randomised clinical trial. Br J Anaesth 2021; 127:386-395. [PMID: 34243940 DOI: 10.1016/j.bja.2021.04.036] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 03/25/2021] [Accepted: 04/23/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Intraoperative EEG suppression duration has been associated with postoperative delirium and mortality. In a clinical trial testing anaesthesia titration to avoid EEG suppression, the intervention did not decrease the incidence of postoperative delirium, but was associated with reduced 30 day mortality. The present study evaluated whether the EEG-guided anaesthesia intervention continued to be associated with reduced 1 yr mortality. METHODS This manuscript reports 1 yr follow-up of patients from a single-centre RCT, including a post-hoc secondary outcome (1 yr mortality) in addition to pre-specified secondary outcomes. The trial included patients aged 60 yr or older undergoing surgery with general anaesthesia between January 2015 and May 2018. Patients were randomised to receive EEG-guided anaesthesia or usual care. The previously reported primary outcome was postoperative delirium. The outcome of the current study was all-cause 1 yr mortality. RESULTS Of the 1232 patients enrolled, 614 patients were randomised to EEG-guided anaesthesia and 618 patients to usual care. One year mortality was 57/591 (9.6%) in the guided group and 62/601 (10.3%) in the usual-care group. No significant difference in mortality was observed (adjusted absolute risk difference, -0.7%; 99.5% confidence interval, -5.8% to 4.3%; P=0.68). CONCLUSIONS An EEG-guided anaesthesia intervention aiming to decrease duration of EEG suppression during surgery did not significantly decrease 1 yr mortality. These findings, in the context of other studies, do not provide supportive evidence for EEG-guided anaesthesia to prevent intermediate term postoperative death. CLINICAL TRIAL REGISTRATION NCT02241655.
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Affiliation(s)
- Bradley A Fritz
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA.
| | - Christopher R King
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Angela M Mickle
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Troy S Wildes
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Thaddeus P Budelier
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Jordan Oberhaus
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel Park
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Hannah R Maybrier
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Arbi Ben Abdallah
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Alex Kronzer
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Sherry L McKinnon
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Brian A Torres
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Thomas J Graetz
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel A Emmert
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Ben J Palanca
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Tracey W Stevens
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Susan L Stark
- Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO, USA
| | - Eric J Lenze
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael S Avidan
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
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Processed EEG from depth of anaesthesia monitors and seizures: A scoping review. Seizure 2021; 91:198-206. [PMID: 34229228 DOI: 10.1016/j.seizure.2021.06.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 06/03/2021] [Accepted: 06/12/2021] [Indexed: 12/27/2022] Open
Abstract
PURPOSE Processed electroencephalogram (EEG) is used peri-operatively for monitoring depth of anaesthesia. Because these utilise EEG data, attempts have been made to investigate their use in diagnosing and monitoring seizures. This is important as formal EEG monitoring can be hard to obtain in many critical care environments. We undertook a scoping review of the evidence for using processed EEG (pEEG) from depth of anaesthesia monitors for this indication. METHODS Medline, Psych INFO, and Embase were searched for peer-reviewed journals until 20 March 2021. Data and conclusions taken from the study of pEEG in both critical care and peri-operative settings have been included in a qualitative synthesis about the current evidence for the use of pEEG in the detection and monitoring of seizures. RESULTS Searches yielded 8 observational studies, 1 randomised trial and 15 case reports in which the use of pEEG in critical care and peri-operative medicine was described. Most concerned the Bispectral Index (BIS) device. The majority of observational studies reported the use of BIS for optimisation of burst suppression in patients with refractory status-epilepticus (RSE), or in the comparison of pEEG data with conventional EEG during epileptic activity. Multiple case reports describe the application of pEEG in the presence of disorders of consciousness as a tool for detection of non-convulsive status-epilepticus, finding variable trends in the pEEG output. CONCLUSIONS Processed EEG may be helpful in monitoring pharmacologically induced burst suppression. Despite this, its use in the diagnosing or monitoring seizure activity is controversial and currently not evidenced, with numerous confounding variables that requires systematic assessment in future studies.
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14
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Neuroanesthesiology Update. J Neurosurg Anesthesiol 2021; 33:107-136. [PMID: 33480638 DOI: 10.1097/ana.0000000000000757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 12/18/2020] [Indexed: 11/27/2022]
Abstract
This review summarizes the literature published in 2020 that is relevant to the perioperative care of neurosurgical patients and patients with neurological diseases as well as critically ill patients with neurological diseases. Broad topics include general perioperative neuroscientific considerations, stroke, traumatic brain injury, monitoring, anesthetic neurotoxicity, and perioperative disorders of cognitive function.
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Smith SK, Nguyen T, Labonte AK, Kafashan M, Hyche O, Guay CS, Wilson E, Chan CW, Luong A, Hickman LB, Fritz BA, Emmert D, Graetz TJ, Melby SJ, Lucey BP, Ju YES, Wildes TS, Avidan MS, Palanca BJA. Protocol for the Prognosticating Delirium Recovery Outcomes Using Wakefulness and Sleep Electroencephalography (P-DROWS-E) study: a prospective observational study of delirium in elderly cardiac surgical patients. BMJ Open 2020; 10:e044295. [PMID: 33318123 PMCID: PMC7737109 DOI: 10.1136/bmjopen-2020-044295] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION Delirium is a potentially preventable disorder characterised by acute disturbances in attention and cognition with fluctuating severity. Postoperative delirium is associated with prolonged intensive care unit and hospital stay, cognitive decline and mortality. The development of biomarkers for tracking delirium could potentially aid in the early detection, mitigation and assessment of response to interventions. Because sleep disruption has been posited as a contributor to the development of this syndrome, expression of abnormal electroencephalography (EEG) patterns during sleep and wakefulness may be informative. Here we hypothesise that abnormal EEG patterns of sleep and wakefulness may serve as predictive and diagnostic markers for postoperative delirium. Such abnormal EEG patterns would mechanistically link disrupted thalamocortical connectivity to this important clinical syndrome. METHODS AND ANALYSIS P-DROWS-E (Prognosticating Delirium Recovery Outcomes Using Wakefulness and Sleep Electroencephalography) is a 220-patient prospective observational study. Patient eligibility criteria include those who are English-speaking, age 60 years or older and undergoing elective cardiac surgery requiring cardiopulmonary bypass. EEG acquisition will occur 1-2 nights preoperatively, intraoperatively, and up to 7 days postoperatively. Concurrent with EEG recordings, two times per day postoperative Confusion Assessment Method (CAM) evaluations will quantify the presence and severity of delirium. EEG slow wave activity, sleep spindle density and peak frequency of the posterior dominant rhythm will be quantified. Linear mixed-effects models will be used to evaluate the relationships between delirium severity/duration and EEG measures as a function of time. ETHICS AND DISSEMINATION P-DROWS-E is approved by the ethics board at Washington University in St. Louis. Recruitment began in October 2018. Dissemination plans include presentations at scientific conferences, scientific publications and mass media. TRIAL REGISTRATION NUMBER NCT03291626.
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Affiliation(s)
- S Kendall Smith
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Thomas Nguyen
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Alyssa K Labonte
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - MohammadMehdi Kafashan
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Orlandrea Hyche
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Christian S Guay
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Elizabeth Wilson
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Courtney W Chan
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Anhthi Luong
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - L Brian Hickman
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Bradley A Fritz
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Daniel Emmert
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Thomas J Graetz
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Spencer J Melby
- Department of Surgery, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Brendan P Lucey
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Yo-El S Ju
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Troy S Wildes
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Michael S Avidan
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Ben J A Palanca
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
- Department of Biomedical Engineering, Washington University in St Louis, Saint Louis, Missouri, USA
- Division of Biology and Biomedical Sciences, Washington University in St Louis, Saint Louis, Missouri, USA
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Fritz BA, King CR, Ben Abdallah A, Lin N, Mickle AM, Budelier TP, Oberhaus J, Park D, Maybrier HR, Wildes TS, Avidan MS, Apakama G, Aranake-Chrisinger A, Bolzenius J, Burton J, Cui V, Emmert DA, Goswami S, Graetz TJ, Gupta S, Jordan K, Kronzer A, McKinnon SL, Muench MR, Murphy MR, Palanca BJ, Patel A, Spencer JW, Stevens TW, Strutz P, Tedeschi CM, Torres BA, Trammel ER, Upadhyayula RT, Winter AC, Jacobsohn E, Fong T, Gallagher J, Inouye SK, Schmitt EM, Somerville E, Stark S, Lenze EJ, Melby SJ, Tappenden J. Preoperative Cognitive Abnormality, Intraoperative Electroencephalogram Suppression, and Postoperative Delirium: A Mediation Analysis. Anesthesiology 2020; 132:1458-1468. [PMID: 32032096 DOI: 10.1097/aln.0000000000003181] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Postoperative delirium is a common complication that hinders recovery after surgery. Intraoperative electroencephalogram suppression has been linked to postoperative delirium, but it is unknown if this relationship is causal or if electroencephalogram suppression is merely a marker of underlying cognitive abnormalities. The hypothesis of this study was that intraoperative electroencephalogram suppression mediates a nonzero portion of the effect between preoperative abnormal cognition and postoperative delirium. METHODS This is a prespecified secondary analysis of the Electroencephalography Guidance of Anesthesia to Alleviate Geriatric Syndromes (ENGAGES) randomized trial, which enrolled patients age 60 yr or older undergoing surgery with general anesthesia at a single academic medical center between January 2015 and May 2018. Patients were randomized to electroencephalogram-guided anesthesia or usual care. Preoperative abnormal cognition was defined as a composite of previous delirium, Short Blessed Test cognitive score greater than 4 points, or Eight Item Interview to Differentiate Aging and Dementia score greater than 1 point. Duration of intraoperative electroencephalogram suppression was defined as number of minutes with suppression ratio greater than 1%. Postoperative delirium was detected via Confusion Assessment Method or chart review on postoperative days 1 to 5. RESULTS Among 1,113 patients, 430 patients showed evidence of preoperative abnormal cognition. These patients had an increased incidence of postoperative delirium (151 of 430 [35%] vs.123 of 683 [18%], P < 0.001). Of this 17.2% total effect size (99.5% CI, 9.3 to 25.1%), an absolute 2.4% (99.5% CI, 0.6 to 4.8%) was an indirect effect mediated by electroencephalogram suppression, while an absolute 14.8% (99.5% CI, 7.2 to 22.5%) was a direct effect of preoperative abnormal cognition. Randomization to electroencephalogram-guided anesthesia did not change the mediated effect size (P = 0.078 for moderation). CONCLUSIONS A small portion of the total effect of preoperative abnormal cognition on postoperative delirium was mediated by electroencephalogram suppression. Study precision was too low to determine if the intervention changed the mediated effect.
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Affiliation(s)
- Bradley A Fritz
- From the Department of Anesthesiology (B.A.F., C.R.K., A.B., A.M.M., T.P.B., J.O., D.P., H.R.M., T.S.W., M.S.A) the Division of Biostatistics (N.L.), Washington University School of Medicine, St. Louis, Missouri the Department of Mathematics and Statistics, Washington University in St. Louis, St. Louis, Missouri (N.L.). Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri Department of Anesthesiology, University of Manitoba, Winnipeg, Canada Department of Medicine, Beth Israel-Deaconess Medical Center, Boston, Massachusetts Department of Medicine, Beth Israel-Deaconess Medical Center, Boston, Massachusetts Department of Medicine, Beth Israel-Deaconess Medical Center, Boston, Massachusetts Department of Medicine, Beth Israel-Deaconess Medical Center, Boston, Massachusetts Department of Occupational Therapy, Washington University School of Medicine, St. Louis, Missouri Department of Occupational Therapy, Washington University School of Medicine, St. Louis, Missouri Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri Department of Surgery, Washington University School of Medicine, St. Louis, Missouri Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
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Bombardieri AM, Wildes TS, Stevens T, Wolfson M, Steinhorn R, Ben Abdallah A, Sleigh J, Avidan MS. Practical Training of Anesthesia Clinicians in Electroencephalogram-Based Determination of Hypnotic Depth of General Anesthesia. Anesth Analg 2020; 130:777-786. [PMID: 31880629 DOI: 10.1213/ane.0000000000004537] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND Electroencephalographic (EEG) brain monitoring during general anesthesia provides information on hypnotic depth. We hypothesized that anesthesia clinicians could be trained rapidly to recognize typical EEG waveforms occurring with volatile-based general anesthesia. METHODS This was a substudy of a trial testing the hypothesis that EEG-guided anesthesia prevents postoperative delirium. The intervention was a 35-minute training session, summarizing typical EEG changes with volatile-based anesthesia. Participants completed a preeducational test, underwent training, and completed a posteducational test. For each question, participants indicated whether the EEG was consistent with (1) wakefulness, (2) non-slow-wave anesthesia, (3) slow-wave anesthesia, or (4) burst suppression. They also indicated whether the processed EEG (pEEG) index was discordant with the EEG waveforms. Four clinicians, experienced in intraoperative EEG interpretation, independently evaluated the EEG waveforms, resolved disagreements, and provided reference answers. Ten questions were assessed in the preeducational test and 9 in the posteducational test. RESULTS There were 71 participants; 13 had previous anesthetic-associated EEG interpretation training. After training, the 58 participants without prior training improved at identifying dominant EEG waveforms (median 60% with interquartile range [IQR], 50%-70% vs 78% with IQR, 67%-89%; difference: 18%; 95% confidence interval [CI], 8-27; P < .001). In contrast, there was no significant improvement following the training for the 13 participants who reported previous training (median 70% with IQR, 60%-80% vs 67% with IQR, 67%-78%; difference: -3%; 95% CI, -18 to 11; P = .88). The difference in the change between the pre- and posteducational session for the previously untrained versus previously trained was statistically significant (difference in medians: 21%; 95% CI, 2-28; P = .005). Clinicians without prior training also improved in identifying discordance between the pEEG index and the EEG waveform (median 60% with IQR, 40%-60% vs median 100% with IQR, 75%-100%; difference: 40%; 95% CI, 30-50; P < .001). Clinicians with prior training showed no significant improvement (median 60% with IQR, 60%-80% vs 75% with IQR, 75%-100%; difference: 15%; 95% CI, -16 to 46; P = .16). Regarding the identification of discordance, the difference in the change between the pre- and posteducational session for the previously untrained versus previously trained was statistically significant (difference in medians: 25%; 95% CI, 5-45; P = .012). CONCLUSIONS A brief training session was associated with improvements in clinicians without prior EEG training in (1) identifying EEG waveforms corresponding to different hypnotic depths and (2) recognizing when the hypnotic depth suggested by the EEG was discordant with the pEEG index.
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Affiliation(s)
- Anna Maria Bombardieri
- From the Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Troy S Wildes
- From the Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Tracey Stevens
- From the Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Maxim Wolfson
- From the Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Rachel Steinhorn
- Department of Anesthesiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Arbi Ben Abdallah
- From the Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Jamie Sleigh
- Department of Anesthesiology, Waikato Clinical School, University of Auckland, Hamilton, New Zealand
| | - Michael S Avidan
- From the Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
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18
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Wang W, Lin N, Oberhaus JD, Avidan MS. Assessing method agreement for paired repeated binary measurements administered by multiple raters. Stat Med 2020; 39:279-293. [PMID: 31788847 DOI: 10.1002/sim.8398] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Revised: 06/07/2019] [Accepted: 07/03/2019] [Indexed: 11/08/2022]
Abstract
Method comparison studies are essential for development in medical and clinical fields. These studies often compare a cheaper, faster, or less invasive measuring method with a widely used one to see if they have sufficient agreement for interchangeable use. Moreover, unlike simply reading measurements from devices, eg, reading body temperature from a thermometer, the response measurement in many clinical and medical assessments is impacted not only by the measuring device but also by the rater. For example, widespread inconsistencies are commonly observed among raters in psychological or cognitive assessment studies due to different characteristics such as rater training and experience, especially in large-scale assessment studies when many raters are employed. This paper proposes a model-based approach to assess agreement of two measuring methods for paired repeated binary measurements under the scenario where the agreement between two measuring methods and the agreement among raters are required to be studied simultaneously. Based upon the generalized linear mixed models (GLMMs), the decision on the adequacy of interchangeable use is made by testing the equality of fixed effects of methods. Approaches for assessing method agreement, such as the Bland-Altman diagram and Cohen's kappa, are also developed for repeated binary measurements based upon the latent variables in GLMMs. We assess our novel model-based approach by simulation studies and a real clinical application, in which patients are evaluated repeatedly for delirium with two validated screening methods. Both the simulation studies and the real data analyses demonstrate that our proposed approach can effectively assess method agreement.
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Affiliation(s)
- Wei Wang
- Department of Mathematics and Statistics, Washington University in St. Louis, St. Louis, Missouri
| | - Nan Lin
- Department of Mathematics and Statistics, Washington University in St. Louis, St. Louis, Missouri.,Division of Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Jordan D Oberhaus
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Michael S Avidan
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
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19
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King CR, Abraham J, Kannampallil TG, Fritz BA, Ben Abdallah A, Chen Y, Henrichs B, Politi M, Torres BA, Mickle A, Budelier TP, McKinnon S, Gregory S, Kheterpal S, Wildes T, Avidan MS. Protocol for the Effectiveness of an Anesthesiology Control Tower System in Improving Perioperative Quality Metrics and Clinical Outcomes: the TECTONICS randomized, pragmatic trial. F1000Res 2019; 8:2032. [PMID: 32201572 PMCID: PMC7076336 DOI: 10.12688/f1000research.21016.1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/12/2019] [Indexed: 01/25/2023] Open
Abstract
Introduction: Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. With advances in technology, there is an opportunity to research the utility of a telemedicine-based control center for anesthesia clinicians that assess risk, diagnoses negative patient trajectories, and implements evidence-based practices. Objectives: The primary objective of this trial is to determine whether an anesthesiology control tower (ACT) prevents clinically relevant adverse postoperative outcomes including 30-day mortality, delirium, respiratory failure, and acute kidney injury. Secondary objectives are to determine whether the ACT improves perioperative quality of care metrics including management of temperature, mean arterial pressure, mean airway pressure with mechanical ventilation, blood glucose, anesthetic concentration, antibiotic redosing, and efficient fresh gas flow. Methods and analysis: We are conducting a single center, randomized, controlled, phase 3 pragmatic clinical trial. A total of 58 operating rooms are randomized daily to receive support from the ACT or not. All adults (eighteen years and older) undergoing surgical procedures in these operating rooms are included and followed until 30 days after their surgery. Clinicians in operating rooms randomized to ACT support receive decision support from clinicians in the ACT. In operating rooms randomized to no intervention, the current standard of anesthesia care is delivered. The intention-to-treat principle will be followed for all analyses. Differences between groups will be presented with 99% confidence intervals; p-values <0.005 will be reported as providing compelling evidence, and p-values between 0.05 and 0.005 will be reported as providing suggestive evidence. Registration: TECTONICS is registered on ClinicalTrials.gov, NCT03923699; registered on 23 April 2019.
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Affiliation(s)
- Christopher R. King
- Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA
| | - Joanna Abraham
- Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA
- Institute for Informatics, Washington University in St Louis, St Louis, MO, 63110, USA
| | - Thomas G. Kannampallil
- Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA
- Institute for Informatics, Washington University in St Louis, St Louis, MO, 63110, USA
| | - Bradley A. Fritz
- Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA
| | - Arbi Ben Abdallah
- Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA
| | - Yixin Chen
- Department of Computer Science and Engineering, Washington University in St Louis, St Louis, MO, 63110, USA
| | - Bernadette Henrichs
- Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA
| | - Mary Politi
- Department of Surgery, Washington University in St Louis, St Louis, MO, 63110, USA
| | - Brian A. Torres
- Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA
| | - Angela Mickle
- Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA
| | - Thaddeus P. Budelier
- Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA
| | - Sherry McKinnon
- Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA
| | - Stephen Gregory
- Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA
| | - Sachin Kheterpal
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Troy Wildes
- Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA
| | - Michael S. Avidan
- Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA
| | - TECTONICS Research Group
- Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA
- Institute for Informatics, Washington University in St Louis, St Louis, MO, 63110, USA
- Department of Computer Science and Engineering, Washington University in St Louis, St Louis, MO, 63110, USA
- Department of Surgery, Washington University in St Louis, St Louis, MO, 63110, USA
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, 48109, USA
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20
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Three blind mice: a tail of discordant trials. Br J Anaesth 2019; 124:121-125. [PMID: 31676036 DOI: 10.1016/j.bja.2019.09.035] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 09/25/2019] [Accepted: 09/25/2019] [Indexed: 12/19/2022] Open
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21
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Wildes TS, Avidan MS. Critical appraisal of ENGAGES: cognitive dissonance and anesthesia research. ANNALS OF TRANSLATIONAL MEDICINE 2019; 7:599. [PMID: 31807580 DOI: 10.21037/atm.2019.09.48] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Troy S Wildes
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael S Avidan
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
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22
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Mickle AM, Maybrier HR, Winter AC, McKinnon SL, Torres BA, Lin N, Lenze EJ, Stark S, Muench MR, Jacobsohn E, Inouye SK, Avidan MS, Wildes TS. Achieving Milestones as a Prerequisite for Proceeding With a Clinical Trial. Anesth Analg 2019; 126:1851-1858. [PMID: 29239943 DOI: 10.1213/ane.0000000000002680] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Although the National Institutes of Health (NIH) invests $30 billion in research annually, many funded studies fail to generate results that can inform practice. The National Institutes of Health introduced a phased funding mechanism as one potential solution. Study-specific milestones are established for an initial pilot phase. We assess the utility of this phased approach through the ongoing Electroencephalography (EEG) Guidance of Anesthesia to Alleviate Geriatric Syndromes (ENGAGES) pragmatic clinical trial. The hypothesis of the trial is that EEG guidance of general anesthesia, through prevention of EEG suppression, can decrease postoperative delirium and its downstream negative sequelae. METHODS In collaboration with study stakeholders, we identified critical milestones for the ENGAGES study, with themes common to many clinical trials. These themes include: regulatory tasks; enrollment targets; feasibility and impact of study intervention; primary outcome incidence; measurement reliability of primary outcome; and follow-up. Progress in achieving the milestones was assessed at regular intervals during the pilot phase by ENGAGES investigators, a National Institute on Aging program officer, and a nonpartisan research organization (Westat). RESULTS Regulatory tasks, including institutional review board approval, infrastructure establishment, and trial registration, were completed on schedule. A total of 117 patients were randomized, exceeding the target by 51. The EEG-guided protocol was successfully implemented, and a relevant effect on anesthetic practice was demonstrated (decrease in median age-adjusted minimum alveolar anesthetic concentration from 0.93 to 0.78 [P < .001] and increase in median proportion of zero EEG suppression time from 87% to 94% [P < .01]). Nearly all patients (115 of 117, 98.3%) were assessed for delirium using the Confusion Assessment Method, and the delirium incidence was similar (28.1%; 95% CI, 20%-37%) to the estimate (25%) used for the sample size calculation. Good interrater reliability of delirium assessment was demonstrated (κ = 0.94 [95% CI, 0.86-1]). Finally, 1-month follow-up vital status data were obtained for 96.9% of patients, with 85.7% of patients completing at least 1 survey. CONCLUSIONS With the ENGAGES trial, we demonstrated that key milestones can be identified and progressively assessed during a pilot phase. Success in attaining appropriate milestones hypothetically predicts meaningful completion of a study, and can provide justification for proceeding beyond a pilot phase. The impact of this phased approach on return on investment and scientific yield requires additional study.
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Affiliation(s)
- Angela M Mickle
- From the Washington University School of Medicine, St Louis, Missouri
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23
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Lipman PD, Dluzak L, Stoney CM. Is this study feasible? Facilitating management of pragmatic trial planning milestones under a phased award funding mechanism. Trials 2019; 20:307. [PMID: 31146778 PMCID: PMC6543574 DOI: 10.1186/s13063-019-3387-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 04/30/2019] [Indexed: 11/26/2022] Open
Abstract
Background Improving efficiencies in clinical research is crucial to translation of findings into practice and delivery of effective, patient-centered health care. This paper describes a project that monitored pragmatic clinical trials by working with investigators to track achievement of early phase milestones. The National Institutes of Health (NIH) Pragmatic Trials Collaborative Project supported scientifically diverse, low-cost, randomized, controlled, pragmatic clinical intervention trials. Funds were available through a cooperative agreement award mechanism, with the initial phase supporting trial planning and the subsequent 4-year awards funding trial implementation. A coordinating center provided evaluation and administrative support, which included capturing progress toward achieving milestones. Methods Six funded trials participated in monthly calls throughout the first year to identify and demonstrate metrics and deliverables for each milestone in the Notice of Grant Award. Interviews were conducted with investigators, trial team members, and NIH program officers/project scientists to discuss their perceptions of the impact and value of the management strategy. Results Five of six trials transitioned to the implementation phase with milestones ranging from 6 to 15 and quantifiable metrics ranging from 15 to 33, for a total of 121 deliverables. One third of the metrics (42, 35%) were trial-specific. Trial teams reported that the oversight was onerous but complemented their management strategies; program officers/project scientists found that documentation submitted for review was sufficient to assess trial feasibility; and investigators reported advantages to the phased award mechanism, such as leverage to secure commitments from stakeholders and collaborators, help with task prioritization, and earlier consultation with key members of the trial team. Conclusions Implementing systematic approaches to identify milestones and track metrics can strengthen the evidence base regarding time and effort to plan and conduct pragmatic clinical trials. Investigators were unaccustomed to producing evidence of performance, and it was challenging to determine what documentation to provide. Efforts to standardize expectations regarding milestones that mark a significant change or stage in trial development or that represent minimum success criteria may provide guidance for more effective and efficient trial management. A framework with clearly specified metrics is especially critical for transparency, particularly when funding decisions are contingent on both merit and feasibility.
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Affiliation(s)
| | - Leanora Dluzak
- Westat, 1600 Research Boulevard, Rockville, MD, 20850, USA
| | - Catherine M Stoney
- National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), 6701 Rockledge Drive, Bethesda, MD, 20817, USA
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24
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Electroencephalography-guided anaesthetic administration does not impact postoperative delirium among older adults undergoing major surgery: an independent discussion of the ENGAGES trial. Br J Anaesth 2019; 123:112-117. [PMID: 31079835 DOI: 10.1016/j.bja.2019.03.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 03/08/2019] [Indexed: 12/20/2022] Open
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25
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Abstract
Postoperative delirium is a common and harrowing complication in older surgical patients. Those with cognitive impairment or dementia are at especially high risk for developing postoperative delirium; ominously, it is hypothesized that delirium can accelerate cognitive decline and the onset of dementia, or worsen the severity of dementia. Awareness of delirium has grown in recent years as various medical societies have launched initiatives to prevent postoperative delirium and alleviate its impact. Unfortunately, delirium pathophysiology is not well understood and this likely contributes to the current state of low-quality evidence that informs perioperative guidelines. Along these lines, recent prevention trials involving ketamine and dexmedetomidine have demonstrated inconsistent findings. Non-pharmacologic multicomponent initiatives, such as the Hospital Elder Life Program, have consistently reduced delirium incidence and burden across various hospital settings. However, a substantial portion of delirium occurrences are still not prevented, and effective prevention and management strategies are needed to complement such multicomponent non-pharmacologic therapies. In this narrative review, we examine the current understanding of delirium neurobiology and summarize the present state of prevention and management efforts.
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Affiliation(s)
- Phillip Vlisides
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Center for Consciousness Science, University of Michigan Medical School,, Ann Arbor, MI, USA
| | - Michael Avidan
- Department of Anesthesiology, Washington University School of Medicine, Saint Louis, Missouri, USA
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26
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Wildes TS, Mickle AM, Ben Abdallah A, Maybrier HR, Oberhaus J, Budelier TP, Kronzer A, McKinnon SL, Park D, Torres BA, Graetz TJ, Emmert DA, Palanca BJ, Goswami S, Jordan K, Lin N, Fritz BA, Stevens TW, Jacobsohn E, Schmitt EM, Inouye SK, Stark S, Lenze EJ, Avidan MS. Effect of Electroencephalography-Guided Anesthetic Administration on Postoperative Delirium Among Older Adults Undergoing Major Surgery: The ENGAGES Randomized Clinical Trial. JAMA 2019; 321:473-483. [PMID: 30721296 PMCID: PMC6439616 DOI: 10.1001/jama.2018.22005] [Citation(s) in RCA: 267] [Impact Index Per Article: 44.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
IMPORTANCE Intraoperative electroencephalogram (EEG) waveform suppression, often suggesting excessive general anesthesia, has been associated with postoperative delirium. OBJECTIVE To assess whether EEG-guided anesthetic administration decreases the incidence of postoperative delirium. DESIGN, SETTING, AND PARTICIPANTS Randomized clinical trial of 1232 adults aged 60 years and older undergoing major surgery and receiving general anesthesia at Barnes-Jewish Hospital in St Louis. Recruitment was from January 2015 to May 2018, with follow-up until July 2018. INTERVENTIONS Patients were randomized 1:1 (stratified by cardiac vs noncardiac surgery and positive vs negative recent fall history) to receive EEG-guided anesthetic administration (n = 614) or usual anesthetic care (n = 618). MAIN OUTCOMES AND MEASURES The primary outcome was incident delirium during postoperative days 1 through 5. Intraoperative measures included anesthetic concentration, EEG suppression, and hypotension. Adverse events included undesirable intraoperative movement, intraoperative awareness with recall, postoperative nausea and vomiting, medical complications, and death. RESULTS Of the 1232 randomized patients (median age, 69 years [range, 60 to 95]; 563 women [45.7%]), 1213 (98.5%) were assessed for the primary outcome. Delirium during postoperative days 1 to 5 occurred in 157 of 604 patients (26.0%) in the guided group and 140 of 609 patients (23.0%) in the usual care group (difference, 3.0% [95% CI, -2.0% to 8.0%]; P = .22). Median end-tidal volatile anesthetic concentration was significantly lower in the guided group than the usual care group (0.69 vs 0.80 minimum alveolar concentration; difference, -0.11 [95% CI, -0.13 to -0.10), and median cumulative time with EEG suppression was significantly less (7 vs 13 minutes; difference, -6.0 [95% CI, -9.9 to -2.1]). There was no significant difference between groups in the median cumulative time with mean arterial pressure below 60 mm Hg (7 vs 7 minutes; difference, 0.0 [95% CI, -1.7 to 1.7]). Undesirable movement occurred in 137 patients (22.3%) in the guided and 95 (15.4%) in the usual care group. No patients reported intraoperative awareness. Postoperative nausea and vomiting was reported in 48 patients (7.8%) in the guided and 55 patients (8.9%) in the usual care group. Serious adverse events were reported in 124 patients (20.2%) in the guided and 130 (21.0%) in the usual care group. Within 30 days of surgery, 4 patients (0.65%) in the guided group and 19 (3.07%) in the usual care group died. CONCLUSIONS AND RELEVANCE Among older adults undergoing major surgery, EEG-guided anesthetic administration, compared with usual care, did not decrease the incidence of postoperative delirium. This finding does not support the use of EEG-guided anesthetic administration for this indication. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02241655.
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Affiliation(s)
- Troy S. Wildes
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Angela M. Mickle
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Arbi Ben Abdallah
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Hannah R. Maybrier
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Jordan Oberhaus
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Thaddeus P. Budelier
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Alex Kronzer
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Sherry L. McKinnon
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Daniel Park
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Brian A. Torres
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Thomas J. Graetz
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Daniel A. Emmert
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Ben J. Palanca
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Shreya Goswami
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Katherine Jordan
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Nan Lin
- Department of Mathematics, Washington University School of Medicine, St Louis, Missouri
| | - Bradley A. Fritz
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Tracey W. Stevens
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Eric Jacobsohn
- Department of Anesthesiology, University of Manitoba, Winnipeg, Canada
| | - Eva M. Schmitt
- Department of Medicine, Beth Israel-Deaconess Medical Center, Hebrew Senior Life, Harvard Medical School, Boston, Massachusetts
| | - Sharon K. Inouye
- Department of Medicine, Beth Israel-Deaconess Medical Center, Hebrew Senior Life, Harvard Medical School, Boston, Massachusetts
| | - Susan Stark
- Department of Occupational Therapy, Washington University School of Medicine, St Louis, Missouri
| | - Eric J. Lenze
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Michael S. Avidan
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
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27
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Maybrier HR, King CR, Crawford AE, Mickle AM, Emmert DA, Wildes TS, Avidan MS, Palanca BJA. Early Postoperative Actigraphy Poorly Predicts Hypoactive Delirium. J Clin Sleep Med 2019; 15:79-87. [PMID: 30621829 DOI: 10.5664/jcsm.7576] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Accepted: 09/12/2018] [Indexed: 12/24/2022]
Abstract
STUDY OBJECTIVES Delirium is a postoperative complication accompanied by disturbances in attention, cognition, arousal, and psychomotor activity. Wrist actigraphy has been advocated to study inactivity and inferred sleep patterns during delirium. We hypothesized that altered patterns of motor activity or immobility, reflective of disordered sleep and wakefulness patterns, would serve as predictive markers of hypoactive postoperative delirium. METHODS Eighty-four elderly surgical patients were classified into three groups based on the timing of hypoactive delirium following surgery: intact with no delirium throughout postoperative days (POD) 0-5 (n = 51), delirium during POD 0-1 (n = 24), and delirium during POD 2-5 (n = 13). Delirium was detected on daily Confusion Assessment Method evaluations and chart review. Actigraphy measures were calculated from accelerometry signals acquired on the first postoperative day (POD 0, 16:00-23:00) and night (POD 0, 23:00-POD 1, 06:00). RESULTS Actigraphy metrics showed substantial interpatient variability. Among the three patient groups, only those without delirium showed greater movement during the day compared to night and also fewer minutes of night immobility (P = .03 and P = .02, Wilcoxon rank-sum tests). These patients were poorly discriminated from those with delirium during either POD 0-1 or POD 2-5, using differences in day and night activity (C-statistic, 95% confidence interval [CI]: 0.66 [0.53-0.79] and C-statistic, 95% CI: 0.71 [0.55-0.87], respectively). Inclusion of low-frequency signals improved performance of immobility measures without affecting those based on activity. Cognitively intact patients during POD 0-5 were distinguished from those with delirium during POD 0-1, based on differences in the number of day and night immobile minutes (C-statistic 0.65, 95% CI: [0.53-0.78]). Actigraphy metrics with the strongest association to delirium incidence were not reliably correlated with an increased risk during POD 0-5, when accounting for patient age, sex, intensive care unit admission, and Charlson Comorbidity Index (adjusted odds ratio of 1.7, 95% CI: [1.0-3.0], P = .09, likelihood ratio test). CONCLUSIONS Early postoperative wrist actigraphy metrics that serve as markers of sleep and wakefulness offer limited capacity as sole predictors or markers of hypoactive delirium. CLINICAL TRIAL REGISTRATION Registry: ClinicalTrials.gov; Title: Electroencephalography Guidance of Anesthesia to Alleviate Geriatric Syndromes (ENGAGES) Study; Identifier: NCT02241655; URL: https://clinicaltrials.gov/ct2/show/NCT02241655.
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Affiliation(s)
- Hannah R Maybrier
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - C Rya King
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Amanda E Crawford
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Angela M Mickle
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Daniel A Emmert
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri.,Department of Surgery, Division of Cardiothoracic Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Troy S Wildes
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Michael S Avidan
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri.,Department of Surgery, Division of Cardiothoracic Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Ben Julian A Palanca
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri.,Division of Biology and Biomedical Sciences, Washington University School of Medicine in St. Louis, St. Louis, Missouri
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Processed Electroencephalogram Monitoring and Postoperative Delirium: A Systematic Review and Meta-analysis. Anesthesiology 2019; 129:417-427. [PMID: 29912008 DOI: 10.1097/aln.0000000000002323] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
WHAT WE ALREADY KNOW ABOUT THIS TOPIC WHAT THIS ARTICLE TELLS US THAT IS NEW: BACKGROUND:: Postoperative delirium complicates approximately 15 to 20% of major operations in patients at least 65 yr old and is associated with adverse outcomes and increased resource utilization. Furthermore, patients with postoperative delirium might also be at risk of developing long-term postoperative cognitive dysfunction. One potentially modifiable variable is use of intraoperative processed electroencephalogram to guide anesthesia. This systematic review and meta-analysis examines the relationship between processed electroencephalogram monitoring and postoperative delirium and cognitive dysfunction. METHODS A systematic search for randomized controlled trials was conducted using Ovid MEDLINE, PubMed, EMBASE, Cochrane Library, and Google search using the keywords processed electroencephalogram, Bispectral Index, postoperative delirium, postoperative cognitive dysfunction. Screening and data extraction were conducted by two independent reviewers, and risk of bias was assessed. Postoperative delirium combined-effect estimates calculated with a fixed-effects model were expressed as odds ratios with 95% CIs. RESULTS Thirteen of 369 search results met inclusion criteria. Postoperative cognitive dysfunction data were excluded in meta-analysis because of heterogeneity of outcome measurements; results were discussed descriptively. Five studies were included in the quantitative postoperative delirium analysis, with data pooled from 2,654 patients. The risk of bias was low in three studies and unclear for the other two. The use of processed electroencephalogram-guided anesthesia was associated with a 38% reduction in odds for developing postoperative delirium (odds ratio = 0.62; P < 0.001; 95% CI, 0.51 to 0.76). CONCLUSIONS Processed electroencephalogram-guided anesthesia was associated with a decrease in postoperative delirium. The mechanism explaining this association, however, is yet to be determined. The data are insufficient to assess the relationship between processed electroencephalogram monitoring and postoperative cognitive dysfunction.
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Muhlhofer WG, Zak R, Kamal T, Rizvi B, Sands LP, Yuan M, Zhang X, Leung JM. Burst-suppression ratio underestimates absolute duration of electroencephalogram suppression compared with visual analysis of intraoperative electroencephalogram. Br J Anaesth 2018; 118:755-761. [PMID: 28486575 DOI: 10.1093/bja/aex054] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/08/2017] [Indexed: 12/21/2022] Open
Abstract
Background Machine-generated indices based on quantitative electroencephalography (EEG), such as the patient state index (PSI™) and burst-suppression ratio (BSR), are increasingly being used to monitor intraoperative depth of anaesthesia in the endeavour to improve postoperative neurological outcomes, such as postoperative delirium (POD). However, the accuracy of the BSR compared with direct visualization of the EEG trace with regard to the prediction of POD has not been evaluated previously. Methods Forty-one consecutive patients undergoing non-cardiac, non-intracranial surgery with general anaesthesia wore a SedLine ® monitor during surgery and were assessed after surgery for the presence of delirium with the Confusion Assessment Method. The intraoperative EEG was scanned for absolute minutes of EEG suppression and correlated with the incidence of POD. The BSR and PSI™ were compared between patients with and without POD. Results Visual analysis of the EEG by neurologists and the SedLine ® -generated BSR provided a significantly different distribution of estimated minutes of EEG suppression ( P =0.037). The Sedline ® system markedly underestimated the amount of EEG suppression. The number of minutes of suppression assessed by visual analysis of the EEG was significantly associated with POD ( P =0.039), whereas the minutes based on the BSR generated by SedLine ® were not associated with POD ( P =0.275). Conclusions Our findings suggest that SedLine ® (machine)-generated indices might underestimate the minutes of EEG suppression, thereby reducing the sensitivity for detecting patients at risk for POD. Thus, the monitoring of machine-generated BSR and PSI™ might benefit from the addition of a visual tracing of the EEG to achieve a more accurate and real-time guidance of anaesthesia depth monitoring and the ultimate goal, to reduce the risk of POD.
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Affiliation(s)
- W G Muhlhofer
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA.,Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - R Zak
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - T Kamal
- Department of Anaesthesia, University of California San Francisco, San Francisco, CA, USA
| | - B Rizvi
- Department of Anaesthesia, University of California San Francisco, San Francisco, CA, USA
| | | | - M Yuan
- Department of Biostatistics, Virginia Tech, Blacksburg, VA, USA
| | - X Zhang
- Department of Anaesthesia, University of California San Francisco, San Francisco, CA, USA
| | - J M Leung
- Department of Anaesthesia, University of California San Francisco, San Francisco, CA, USA
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Plummer GS, Ibala R, Hahm E, An J, Gitlin J, Deng H, Shelton KT, Solt K, Qu JZ, Akeju O. Electroencephalogram dynamics during general anesthesia predict the later incidence and duration of burst-suppression during cardiopulmonary bypass. Clin Neurophysiol 2018; 130:55-60. [PMID: 30476711 DOI: 10.1016/j.clinph.2018.11.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 10/18/2018] [Accepted: 11/06/2018] [Indexed: 01/11/2023]
Abstract
OBJECTIVE Electroencephalogram burst-suppression during general anesthesia is associated with post-operative delirium (POD). Whether burst-suppression causes POD or merely reflects susceptibility to POD is unclear. We hypothesized decreased intraoperative alpha (8-12 Hz) and beta (13-33 Hz) power prior to the occurrence of burst-suppression in susceptible patients. METHODS We analyzed intraoperative electroencephalogram data of cardiac surgical patients undergoing cardiopulmonary bypass (CPB). We detected the incidence and duration of CPB burst-suppression with an automated burst-suppression detection algorithm. We analyzed EEG data with multitaper spectral estimation methods. We assessed associations between patient characteristics and burst-suppression using Binomial and Zero-inflated Poisson Regression Models. RESULTS We found significantly decreased alpha and beta power (7.8-22.95 Hz) in the CPB burst-suppression cohort. The odds ratio for the association between point estimates for alpha and beta power (7.8-22.95 Hz) and the incidence of burst-suppression was 0.88 (95% CI: 0.79-0.98). The incidence rate ratio for the association between point estimates for power between the alpha and beta range and the duration of burst-suppression was 0.89 (95% CI: 0.84-0.93). CONCLUSION Decreased intra-operative power within the alpha and beta range was associated with susceptibility to burst-suppression during CPB. SIGNIFICANCE This dynamic may be used to develop principled neurophysiological-based approaches to aid the preemptive identification and targeted care of POD vulnerable patients.
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Affiliation(s)
- George S Plummer
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Tufts University School of Medicine, Boston, MA, USA
| | - Reine Ibala
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Eunice Hahm
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jingzhi An
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jacob Gitlin
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hao Deng
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Kenneth T Shelton
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ken Solt
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jason Z Qu
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Oluwaseun Akeju
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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Abstract
PURPOSE OF REVIEW Various neurologically focused monitoring modalities such as processed electroencephalography (pEEG), tissue/brain oxygenation monitors (SbO2), and even somatosensory evoked responses have been suggested as having the potential to improve the well tolerated and effective delivery of care in the setting of outpatient surgery. The present article will discuss the pros and cons of such monitors in this environment. RECENT FINDINGS There is a paucity of evidence from rigorous, well designed clinical trials demonstrating that the routine use of any neuromonitoring technique in an ambulatory surgery setting leads to meaningful cost savings or a reduction in morbidity or mortality. SUMMARY The use of advanced neuromonitoring techniques (primarily pEEG) may be considered reasonable in two instances: for the prevention of intraoperative awareness during the administration of total intravenous anesthesia coupled with the use of a neuromuscular blocking drug, and for the prevention of relative drug overdose (and possibly postoperative delirium) in the elderly.
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Mutch WAC, El-Gabalawy R, Girling L, Kilborn K, Jacobsohn E. End-Tidal Hypocapnia Under Anesthesia Predicts Postoperative Delirium. Front Neurol 2018; 9:678. [PMID: 30174647 PMCID: PMC6108130 DOI: 10.3389/fneur.2018.00678] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Accepted: 07/27/2018] [Indexed: 12/30/2022] Open
Abstract
Background: Postoperative delirium (POD) might be associated with anesthetic management, but research has focused on choice or dosage of anesthetic drugs. We examined potential contributions of intraoperative ventilatory and hemodynamic management to POD. Methods: This was a sub-study of the ENGAGES-Canada trial (NCT02692300) involving non-cardiac surgery patients enrolled in Winnipeg, Canada. Patients received preoperative psychiatric and cognitive assessments, and intraoperatively underwent high-fidelity data collection of blood pressure, end-tidal respiratory gases and anesthetic agent concentration. POD was assessed by peak and mean POD scores using the Confusion Assessment Method-Severity (CAM-S) tool. Bivariate and multiple linear regression models were constructed controlling for age, psychiatric illness, and cognitive dysfunction in the examination of deviations in intraoperative end-tidal carbon dioxide (areas over (AOC) and under the curve (AUC)) on POD severity scores. Results: A total of 101 subjects [69 (6) years of age] were studied; 89 had comprehensive intraoperative hemodynamic and end-tidal gas measurements (data recorded at 1 Hz). The incidence of POD was 11.9% (12/101). Age, cognitive dysfunction, anxiety, depression, and intraoperative end-tidal CO2 (AUC) were significant correlates of POD severity. In the multiple regression model, cognitive dysfunction and AUC end-tidal CO2 (0.67 kPa below median intra-operative value) were the only independent significant predictors across both POD severity (mean and peak) scores. There was no association between cumulative anesthetic agent exposure and POD. Conclusions: POD was associated with intraoperative ventilatory management, reflected by low end-tidal CO2 concentrations, but not with cumulative anesthetic drug exposure. These findings suggest that maintenance of intraoperative normocapnia might benefit patients at risk of POD.
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Affiliation(s)
- W Alan C Mutch
- Department of Anesthesia and Perioperative Medicine, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada.,Canada North Concussion Network (www.CNCN.ca), Winnipeg, MB, Canada
| | - Renée El-Gabalawy
- Department of Anesthesia and Perioperative Medicine, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada.,Department of Clinical Health Psychology, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Linda Girling
- Department of Anesthesia and Perioperative Medicine, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Kayla Kilborn
- Department of Anesthesia and Perioperative Medicine, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Eric Jacobsohn
- Department of Anesthesia and Perioperative Medicine, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada
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Abstract
There is significant evidence that many older surgical patients experience at least a transient decrease in cognitive function. Although there is still equipoise regarding the degree, duration, and mechanism of cognitive dysfunction, there is a concurrent need to provide best-practice clinical evidence. The two major cognitive disorders seen after surgery are postoperative delirium and postoperative cognitive dysfunction. Delirium is a public health problem; millions of dollars are spent annually on delirium-related medical resource use and prolonged hospital stays. Postoperative cognitive dysfunction is a research construct that historically signifies decline in performance on a neuropsychiatric test or group of tests and begins days to weeks after surgery. This review focuses on the current state of information gathered by several interdisciplinary stakeholder groups. Although there is still a need for high-level evidence to guide clinical practice, there is an emerging literature that can guide practitioners.
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Affiliation(s)
- C Brown
- Department of Anesthesiology and Critical Care Medicine, The Johns Hopkins University School of Medicine, Sheikh Zayed Tower, 1800 Orleans Street, Baltimore, MD 21287, USA
| | - S Deiner
- Departments of Anesthesiology .,Neurosurgery.,Geriatrics and Palliative Care, Icahn School of Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box #1010, New York, NY 10029-6574, USA
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Safavynia SA, Arora S, Pryor KO, García PS. An update on postoperative delirium: Clinical features, neuropathogenesis, and perioperative management. CURRENT ANESTHESIOLOGY REPORTS 2018; 8:252-262. [PMID: 30555281 PMCID: PMC6290904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
PURPOSE OF REVIEW We present a focused review on postoperative delirium for anesthesiologists, encompassing clinical features, neuropathogenesis, and clinical identification and management strategies based on risk factors and current delirium treatments. RECENT FINDINGS The literature on postoperative delirium is dominated by non-experimental studies. We review delirium phenotypes, diagnostic criteria, and present standard nomenclature based on current literature. Disruption of cortical integration of complex information (CICI) may provide a framework to understand the neuropathogenesis of postoperative delirium, as well as risk factors and clinical modifiers in the perioperative period. We further divide risk factors into patient factors, surgical factors, and medical/pharmacological factors, and present specific considerations for each in the preoperative, intraoperative, and postoperative periods. SUMMARY Postoperative delirium is prevalent, poorly understood, and often missed with current screening techniques. Proper identification of risk factors is useful for perioperative interventions and can help tailor patient-specific management strategies.
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Affiliation(s)
- Seyed A. Safavynia
- Department of Anesthesiology, Weill Cornell Medical
College, New York, NY, USA
| | - Sona Arora
- Department of Anesthesiology, Emory University, Atlanta,
GA, USA
| | - Kane O. Pryor
- Department of Anesthesiology, Weill Cornell Medical
College, New York, NY, USA
| | - Paul S. García
- Department of Anesthesiology, Emory University, Atlanta,
GA, USA
- Neuroanesthesia Laboratory, Atlanta VA Medical Center/Emory
University, Atlanta, GA, USA
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Safavynia SA, Arora S, Pryor KO, García PS. An Update on Postoperative Delirium: Clinical Features,
Neuropathogenesis, and Perioperative Management. CURRENT ANESTHESIOLOGY REPORTS 2018. [DOI: 10.1007/s40140-018-0282-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Punjasawadwong Y, Chau‐in W, Laopaiboon M, Punjasawadwong S, Pin‐on P. Processed electroencephalogram and evoked potential techniques for amelioration of postoperative delirium and cognitive dysfunction following non-cardiac and non-neurosurgical procedures in adults. Cochrane Database Syst Rev 2018; 5:CD011283. [PMID: 29761891 PMCID: PMC6494561 DOI: 10.1002/14651858.cd011283.pub2] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Postoperative delirium (POD) and postoperative cognitive dysfunction (POCD) may complicate a patient's postoperative recovery in several ways. Monitoring of processed electroencephalogram (EEG) or evoked potential (EP) indices may prevent or minimize POD and POCD, probably through optimization of anaesthetic doses. OBJECTIVES To assess whether the use of processed EEG or auditory evoked potential (AEP) indices (bispectral index (BIS), narcotrend index, cerebral state index, state entropy and response entropy, patient state index, index of consciousness, A-line autoregressive index, and auditory evoked potentials (AEP index)) as guides to anaesthetic delivery can reduce the risk of POD and POCD in non-cardiac surgical or non-neurosurgical adult patients undergoing general anaesthesia compared with standard practice where only clinical signs are used. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase and clinical trial registry databases up to 28 March 2017. We updated this search in February 2018, but these results have not been incorporated in the review. SELECTION CRITERIA We included randomized or quasi-randomized controlled trials comparing any method of processed EEG or evoked potential techniques (entropy, BIS, AEP etc.) against a control group where clinical signs were used to guide doses of anaesthetics in adults aged 18 years or over undergoing general anaesthesia for non-cardiac or non-neurosurgical elective operations. DATA COLLECTION AND ANALYSIS We used the standard methodological procedures expected by Cochrane. Our primary outcomes were: occurrence of POD; and occurrence of POCD. Secondary outcomes included: all-cause mortality; any postoperative complications; and postoperative length of stay. We used GRADE to assess the quality of evidence for each outcome. MAIN RESULTS We included six randomized controlled trials (RCTs) with 2929 participants comparing processed EEG or EP indices-guided anaesthesia with clinical signs-guided anaesthesia. There are five ongoing studies and one study awaiting classification.Anaesthesia administration guided by the indices from a processed EEG (bispectral index) probably reduces the risk of POD within seven days after surgery with risk ratio (RR) of 0.71 (95% CI 0.59 to 0.85; number needed to treat for an additional beneficial outcome (NNTB) of 17, 95% CI 11 to 34; 2197 participants; 3 RCTs; moderate quality of evidence). Three trials also showed the lower rate of POCD at 12 weeks after surgery (RR 0.71, 95% CI 0.53 to 0.96; NNTB 38, 95% CI 21 to 289; 2051 participants; moderate-quality evidence), but it is uncertain whether processed EEG indices reduce POCD at one week (RR 0.84, 95% CI 0.69 to 1.02; 3 trials; 1989 participants; moderate-quality evidence), and at 52 weeks (RR 0.30, 95% CI 0.05 to 1.80; 1 trial; 59 participants; very low quality of evidence). There may be little or no effect on all-cause mortality (RR 1.01, 95% CI 0.62 to 1.64; 1 trial; 1155 participants; low-quality evidence). One trial suggested a lower risk of any postoperative complications with processed EEG (RR 0.51, 95% CI 0.37 to 0.71; 902 participants, moderate-quality evidence). There may be little or no effect on reduced postoperative length of stay (mean difference -0.2 days, 95% CI -2.02 to 1.62; 1155 participants; low-quality evidence). AUTHORS' CONCLUSIONS There is moderate-quality evidence that optimized anaesthesia guided by processed EEG indices could reduce the risk of postoperative delirium in patients aged 60 years or over undergoing non-cardiac surgical and non-neurosurgical procedures. We found moderate-quality evidence that postoperative cognitive dysfunction at three months could be reduced in these patients. The effect on POCD at one week and over one year after surgery is uncertain. There are no data available for patients under 60 years. Further blinded randomized controlled trials are needed to elucidate strategies for the amelioration of postoperative delirium and postoperative cognitive dysfunction, and their consequences such as dementia (including Alzheimer's disease (AD)) in both non-elderly (below 60 years) and elderly (60 years or over) adult patients. The one study awaiting classification and five ongoing studies may alter the conclusions of the review once assessed.
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Affiliation(s)
- Yodying Punjasawadwong
- Chiang Mai UniversityDepartment of Anesthesiology, Faculty of MedicineChiang MaiThailand50200
| | - Waraporn Chau‐in
- Faculty of Medicine, Khon Kaen UniversityDepartment of Anesthesiology19‐32 Chuabchuen RoadKhon KaenThailand
| | - Malinee Laopaiboon
- Khon Kaen UniversityDepartment of Epidemiology and Biostatistics, Faculty of Public Health123 Mitraparb RoadAmphur MuangKhon KaenThailand40002
| | | | - Pathomporn Pin‐on
- Faculty of Medicine, Chiang Mai UniversityDepartment of AnesthesiologyChiang MaiThailand50200
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Whittington RA. The Pros of Publishing Standalone Clinical Trial Protocols in Anesthesiology Journals. Anesth Analg 2018; 126:1441-1443. [DOI: 10.1213/ane.0000000000002827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Dal-Ré R, Janiaud P, Ioannidis JPA. Real-world evidence: How pragmatic are randomized controlled trials labeled as pragmatic? BMC Med 2018; 16:49. [PMID: 29615035 PMCID: PMC5883397 DOI: 10.1186/s12916-018-1038-2] [Citation(s) in RCA: 144] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 03/15/2018] [Indexed: 01/29/2023] Open
Abstract
INTRODUCTION Pragmatic randomized controlled trials (RCTs) mimic usual clinical practice and they are critical to inform decision-making by patients, clinicians and policy-makers in real-world settings. Pragmatic RCTs assess effectiveness of available medicines, while explanatory RCTs assess efficacy of investigational medicines. Explanatory and pragmatic are the extremes of a continuum. This debate article seeks to evaluate and provide recommendation on how to characterize pragmatic RCTs in light of the current landscape of RCTs. It is supported by findings from a PubMed search conducted in August 2017, which retrieved 615 RCTs self-labeled in their titles as "pragmatic" or "naturalistic". We focused on 89 of these trials that assessed medicines (drugs or biologics). DISCUSSION 36% of these 89 trials were placebo-controlled, performed before licensing of the medicine, or done in a single-center. In our opinion, such RCTs overtly deviate from usual care and pragmatism. It follows, that the use of the term 'pragmatic' to describe them, conveys a misleading message to patients and clinicians. Furthermore, many other trials among the 615 coined as 'pragmatic' and assessing other types of intervention are plausibly not very pragmatic; however, this is impossible for a reader to tell without access to the full protocol and insider knowledge of the trial conduct. The degree of pragmatism should be evaluated by the trial investigators themselves using the PRECIS-2 tool, a tool that comprises 9 domains, each scored from 1 (very explanatory) to 5 (very pragmatic). CONCLUSIONS To allow for a more appropriate characterization of the degree of pragmatism in clinical research, submissions of RCTs to funders, research ethics committees and to peer-reviewed journals should include a PRECIS-2 tool assessment done by the trial investigators. Clarity and accuracy on the extent to which a RCT is pragmatic will help understand how much it is relevant to real-world practice.
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Affiliation(s)
- Rafael Dal-Ré
- Epidemiology Unit, Health Research Institute-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid, E-28040, Madrid, Spain
| | - Perrine Janiaud
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, 94305, USA
| | - John P A Ioannidis
- Departments of Medicine, Health Research and Policy, Biomedical Data Science, Statistics, and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, 94305, USA.
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Aranake-Chrisinger A, Cheng JZ, Muench MR, Tang R, Mickle A, Maybrier H, Lin N, Wildes T, Lenze E, Avidan MS. Ability of postoperative delirium to predict intermediate-term postoperative cognitive function in patients undergoing elective surgery at an academic medical centre: protocol for a prospective cohort study. BMJ Open 2018; 8:e017079. [PMID: 29550773 PMCID: PMC5875681 DOI: 10.1136/bmjopen-2017-017079] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
INTRODUCTION Postoperative delirium (POD) is a common complication in elderly patients, characterised by a fluctuating course of altered consciousness, disordered thinking and inattention. Preliminary research has linked POD with persistent cognitive impairment and decreased quality of life. However, these findings maybe confounded by patient comorbidities, postoperative complications and frailty. Our objective is to determine whether POD is an independent risk factor for persistent impairments in attention and executive function after elective surgery. Our central hypothesis is that patients with POD are more likely to have declines in cognition and quality of life 1 year after surgery compared with patients without POD. We aim to clarify whether these associations are independent of potentially confounding factors. We will also explore the association between POD and incident dementia. METHODS AND ANALYSIS This study will recruit 200 patients from the ongoing Electroencephalography Guidance of Anesthesia to Alleviate Geriatric Syndromes (ENGAGES) study. Patients who live ≤45 miles from the study centre or have a planned visit to the centre 10-16 months postoperatively will be eligible. Patients with POD, measured by the Confusion Assessment Method, will be compared with patients without delirium. The primary outcome of cognitive function and secondary outcomes of quality of life and incident dementia will be compared between cohorts. Cognition will be measured by Trails A and B and Stroop Color and Word Test, quality of life with Veteran's RAND 12-item Health Survey and incident dementia with the Short Blessed Test. Multivariable regression analyses and a Cox proportional hazards analysis will be performed. All results will be reported with 95% CIs and α=0.05. ETHICS AND DISSEMINATION The study has been approved by the Washington University in St. Louis Institutional Review Board (IRB no 201601099). Plans for dissemination include scientific publications and presentations at scientific conferences. TRIAL REGISTRATION NUMBER NCT02241655.
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Affiliation(s)
- Amrita Aranake-Chrisinger
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, USA
| | - Jenny Zhao Cheng
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, USA
| | - Maxwell R Muench
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, USA
- Kirksville College of Osteopathic Medicine, Kirksville, Missouri, USA
| | - Rose Tang
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, USA
| | - Angela Mickle
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, USA
| | - Hannah Maybrier
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, USA
| | - Nan Lin
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, USA
- Division of Biostatistics, Department of Mathematics, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Troy Wildes
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, USA
| | - Eric Lenze
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, USA
| | - Michael Simon Avidan
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, USA
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Strutz P, Tzeng W, Arrington B, Kronzer V, McKinnon S, Ben Abdallah A, Haroutounian S, Avidan MS. Obstructive sleep apnea as an independent predictor of postoperative delirium and pain: protocol for an observational study of a surgical cohort. F1000Res 2018; 7:328. [PMID: 30026927 PMCID: PMC6039916 DOI: 10.12688/f1000research.14061.2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/05/2018] [Indexed: 12/23/2022] Open
Abstract
Introduction: Postoperative delirium and pain are common complications in adults, and are difficult both to prevent and treat. Obstructive sleep apnea (OSA) is prevalent in surgical patients, and has been suggested to be a risk factor for postoperative delirium and pain. OSA also might impact pain perception, and alter pain medication requirements. This protocol describes an observational study, with the primary aim of testing whether OSA is an independent predictor of postoperative complications, focusing on (i) postoperative incident delirium and (ii) acute postoperative pain severity. We secondarily hypothesize that compliance with prescribed treatment for OSA (typically continuous positive airway pressure or CPAP) might decrease the risk of delirium and the severity of pain. Methods and analysis: We will include data from patients who have been enrolled into three prospective studies: ENGAGES, PODCAST, and SATISFY-SOS. All participants underwent general anesthesia for a non-neurosurgical inpatient operation, and had a postoperative hospital stay of at least one day at Barnes Jewish Hospital in St. Louis, Missouri, from February 2013 to May 2018. Patients included in this study have been assessed for postoperative delirium and pain severity as part of the parent studies. In the current study, determination of delirium diagnosis will be based on the Confusion Assessment Method, and the Visual Analogue Pain Scale will be used for pain severity. Data on OSA diagnosis, OSA risk and compliance with treatment will be obtained from the preoperative assessment record. Other variables that are candidate risk factors for delirium and pain will also be extracted from this record. We will use logistic regression to test whether OSA independently predicts postoperative delirium and linear regression to assess OSAs relationship to acute pain severity. We will conduct secondary analyses with subgroups to explore whether these relationships are modified by compliance with OSA treatment.
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Affiliation(s)
- Patricia Strutz
- Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - William Tzeng
- Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Brianna Arrington
- Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Vanessa Kronzer
- Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Sherry McKinnon
- Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Arbi Ben Abdallah
- Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Simon Haroutounian
- Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Michael S Avidan
- Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
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Avidan MS, Graetz TJ. Monitoring the brain strikes a discordant note for anesthesiologists. Can J Anaesth 2018; 65:501-506. [DOI: 10.1007/s12630-018-1086-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 01/22/2018] [Indexed: 11/30/2022] Open
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Avidan MS, Mashour GA. Comment on the PODCAST study - Authors' reply. Lancet 2017; 390:2346. [PMID: 29185432 DOI: 10.1016/s0140-6736(17)32896-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 09/25/2017] [Indexed: 11/16/2022]
Affiliation(s)
- Michael S Avidan
- Campus Box 8054, Washington University School of Medicine, St Louis, MO 63110, USA.
| | - George A Mashour
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
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Lipman PD, Loudon K, Dluzak L, Moloney R, Messner D, Stoney CM. Framing the conversation: use of PRECIS-2 ratings to advance understanding of pragmatic trial design domains. Trials 2017; 18:532. [PMID: 29126437 PMCID: PMC5681765 DOI: 10.1186/s13063-017-2267-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Accepted: 10/20/2017] [Indexed: 01/05/2023] Open
Abstract
Background There continues to be debate about what constitutes a pragmatic trial and how it is distinguished from more traditional explanatory trials. The NIH Pragmatic Trials Collaborative Project, which includes five trials and a coordinating unit, has adopted the Pragmatic-Explanatory Continuum Indicator Summary (PRECIS-2) instrument. The purpose of the study was to collect PRECIS-2 ratings at two points in time to assess whether the tool was sensitive to change in trial design, and to explore with investigators the rationale for rating shifts. Methods A mixed-methods design included sequential collection and analysis of quantitative data (PRECIS-2 ratings) and qualitative data. Ratings were collected at two annual, in-person project meetings, and subsequent interviews conducted with investigators were recorded, transcribed, and coded using NVivo 11 Pro for Windows. Rating shifts were coded as either (1) actual change (reflects a change in procedure or protocol), (2) primarily a rating shift reflecting rater variability, or (3) themes that reflect important concepts about the tool and/or pragmatic trial design. Results Based on PRECIS-2 ratings, each trial was highly pragmatic at the planning phase and remained so 1 year later in the early phases of trial implementation. Over half of the 45 paired ratings for the nine PRECIS-2 domains indicated a rating change from Time 1 to Time 2 (N = 24, 53%). Of the 24 rating changes, only three represented a true change in the design of the trial. Analysis of rationales for rating shifts identified critical themes associated with the tool or pragmatic trial design more generally. Each trial contributed one or more relevant comments, with Eligibility, Flexibility of Adherence, and Follow-up each accounting for more than one. Conclusions PRECIS-2 has proved useful for “framing the conversation” about trial design among members of the Pragmatic Trials Collaborative Project. Our findings suggest that design elements assessed by the PRECIS-2 tool may represent mostly stable decisions. Overall, there has been a positive response to using PRECIS-2 to guide conversations around trial design, and the project’s focus on the use of the tool by this group of early adopters has provided valuable feedback to inform future trainings on the tool.
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Affiliation(s)
| | - Kirsty Loudon
- NMAHP Research Unit, Unit 13 Scion House, Stirling University Innovation Park, Stirling, FK9 4NF, UK
| | - Leanora Dluzak
- Westat, 1600 Research Boulevard, Rockville, MD, 20850, USA
| | - Rachael Moloney
- Center for Medical Technology Policy, World Trade Center Baltimore, 401 East Pratt Street, Suite 631, Baltimore, MD, 21202, USA
| | - Donna Messner
- Center for Medical Technology Policy, World Trade Center Baltimore, 401 East Pratt Street, Suite 631, Baltimore, MD, 21202, USA
| | - Catherine M Stoney
- National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), RKL2, BG RM 10220, 6701 Rockledge Drive, Bethesda, MD, 20817, USA
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Abstract
Importance Delirium is defined as an acute disorder of attention and cognition. It is a common, serious, and often fatal condition among older patients. Although often underrecognized, delirium has serious adverse effects on the individual's function and quality of life, as well as broad societal effects with substantial health care costs. Objective To summarize the current state of the art in diagnosis and treatment of delirium and to highlight critical areas for future research to advance the field. Evidence Review Search of Ovid MEDLINE, Embase, and the Cochrane Library for the past 6 years, from January 1, 2011, until March 16, 2017, using a combination of controlled vocabulary and keyword terms. Since delirium is more prevalent in older adults, the focus was on studies in elderly populations; studies based solely in the intensive care unit (ICU) and non-English-language articles were excluded. Findings Of 127 articles included, 25 were clinical trials, 42 cohort studies, 5 systematic reviews and meta-analyses, and 55 were other categories. A total of 11 616 patients were represented in the treatment studies. Advances in diagnosis have included the development of brief screening tools with high sensitivity and specificity, such as the 3-Minute Diagnostic Assessment; 4 A's Test; and proxy-based measures such as the Family Confusion Assessment Method. Measures of severity, such as the Confusion Assessment Method-Severity Score, can aid in monitoring response to treatment, risk stratification, and assessing prognosis. Nonpharmacologic approaches focused on risk factors such as immobility, functional decline, visual or hearing impairment, dehydration, and sleep deprivation are effective for delirium prevention and also are recommended for delirium treatment. Current recommendations for pharmacologic treatment of delirium, based on recent reviews of the evidence, recommend reserving use of antipsychotics and other sedating medications for treatment of severe agitation that poses risk to patient or staff safety or threatens interruption of essential medical therapies. Conclusions and Relevance Advances in diagnosis can improve recognition and risk stratification of delirium. Prevention of delirium using nonpharmacologic approaches is documented to be effective, while pharmacologic prevention and treatment of delirium remains controversial.
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Affiliation(s)
- Esther S Oh
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Tamara G Fong
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
- Aging Brain Center, Hebrew SeniorLife, Boston, Massachusetts
| | - Tammy T Hshieh
- Division of Aging, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sharon K Inouye
- Aging Brain Center, Hebrew SeniorLife, Boston, Massachusetts
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
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Dacks PA, Inouye SK, Dougal S, Fillit HM. Prevention of cognitive dysfunction following surgery: An unmet clinical opportunity. Alzheimers Dement 2016. [DOI: 10.1016/j.jalz.2016.07.153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
| | - Sharon K. Inouye
- Aging Brain Center, Institute for Aging Research Hebrew SeniorLife Boston MA USA
- Department of Medicine Beth Israel Deaconess Medical Center, Harvard Medical School Boston MA USA
| | - Sonya Dougal
- The New York Academy of Sciences New York NY USA
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